Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 96% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
34 measurements spanning 49 days, net -753. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 23,832–24,914 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
26 Sept 2026, 00:21
24,036
+79
19 Sept 2026, 07:17
23,957
-12
16 Sept 2026, 20:00
23,969
-11
14 Sept 2026, 19:21
23,980
-20
13 Sept 2026, 09:15
24,000
-2
11 Sept 2026, 15:38
24,002
-45
9 Sept 2026, 02:01
24,047
-79
5 Sept 2026, 21:55
24,126
-7
3 Sept 2026, 16:21
24,133
+3
2 Sept 2026, 12:02
24,130
-11
1 Sept 2026, 08:28
24,141
+14
31 Aug 2026, 05:57
24,127
-7
30 Aug 2026, 05:43
24,134
-19
29 Aug 2026, 03:25
24,153
-20
27 Aug 2026, 23:58
24,173
-17
26 Aug 2026, 22:53
24,190
-29
26 Aug 2026, 01:43
24,219
-29
25 Aug 2026, 04:38
24,248
-29
24 Aug 2026, 03:55
24,277
-49
22 Aug 2026, 13:07
24,326
first reading
Engagement
58 posts held, back to 25 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.85%
avg views ÷ 24,036 subscribers
Avg views / post
1,650
16 posts measured
Reaction rate
2.15%
reactions ÷ views · ER floor
Posts in window
16
of 58 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 29 September 2026
Posts held
58 (25 July 2026 – 29 September 2026)
Views total
26,344
Reactions total
566
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 19:22 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
570
Videos
77
Links
245
Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1h 00m
Average length
10m 01s
Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
2,041 reactions across 58 posts, in 11 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
568
27.8%
🔥
568
27.8%
👍
216
10.6%
🏆
168
8.23%
⚡
167
8.18%
🗿
148
7.25%
👏
103
5.05%
🥰
46
2.25%
🤯
24
1.18%
🤬
20
0.98%
😱
13
0.637%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 58 of the 58 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2,041 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 25 July 2026 to 29 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
3
of 58 we hold a reading for · 5%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @trinnkoStudyBlog. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 58 most recent posts we hold for this entry, published 25 July 2026 to 29 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
История исправления ИИ-пометок за час до дедлайна😅
Недавно мне написал Артем, у него уже как 2 месяца был готов целый диплом.
Писал он сам, руками, всё лето (такое не одобряю, летом отдыхать надо😁)
Прям НИКАКИХ нейросетей, серьезно говорю!
Теперь самое интересное:
За 8 часов до дедлайна загрузки на портал вуза, он прогнал работу через Антиплагиат – получил 42% ИИ-контента во второй и третьей главе🥲🥲
Далее все с…
В Сеуле РЕАЛЬНО едят бульдаки и запивают банановым молоком😂
Все эти рилсы про 7-Eleven (популярный магазин продуктов в Азии и США) – правда!
Где люди в 4 утра приходят в магазин, берут бульдак (аналог доширака), покупают разные топпинги и делают себе рамёнчик😋
У меня в целом рабочий день может по 4-5 утра длиться, так как у команды АИ-Профессора еще только вечер, в Сеуле время +6 от Москвы.
И реально очень удобны…
Диплом за 2 дня с помощью АИ-Профессора🤖
Пока позавчера ходил по магазинам, мне в личку прилетел отзыв от студентки на АИ-Профессор (софт для написания курсовых и дипломов с помощью ИИ)
Много расписывать не буду, все и так знают, что это ИМБА😁
Кто не знает – вот урок по написанию диплома с помощью АИ-Профессора, там уже 36к+ просмотров
📎Вернемся к студентке:
– факультет МЭО, московский топ вуз
– была готова толь…
Корейские аутлеты – это город в городе, Я ОХРЕНЕЛ🔥
Кто не знает, аутлет – это огромный «город» со своими магазинами, мини-улицами и ТЦ.
При этом там все дешевле в несколько раз, чем в обычных магазинах!
Вчера был в SIHEUNG PREMIUM OUTLETS (от премиума одно название, но ладно)😁
Но например, купил джинсы за ~11к рублей, БРЕНДОВЫЕ!
В РФ ~50-70к стоят, это жесть)
Следующая закупка будет нескоро, я в целом редко что…
Первые каникулы в Корее🇰🇷
Сегодня закончился 1급 (уровень) в корейском унике!
В языковой школе при университете семестр (уровень) длится чуть больше 2,5 месяцев.
Но сдал я его не очень, конечно...
Проходной балл на следующий уровень был 65 баллов, а у меня 52,4🥲
Пойду учиться на этот же уровень во второй раз уже через 3 недели!
Но мне будет в разы легче, освободится время еще на работу, сейчас финальная стадия т…
🤖АИ-Профессор на связи!
Всем новеньким в канале советую начать с этого поста.
А кто уже знаком с АИ-Профессором – повторю самое важное:
📎Он с нуля пишет курсовую и диплом (сам собирает план по главам, список литературы и прочее).
📎Есть встроенная команда «ИИ», которая убирает ИИ-контент в работе для прохождения Антиплагиата.
📎Доступ НАВСЕГДА, можно написать хоть 10+ курсовых.
📎Скоро выходит версия 6.0 с кучей ф…
База знаний в одном сообщении🧠
Тут много новеньких, поэтому решил собрать все полезные статьи и видео в одно сообщение!
Этих 6 материалов будет достаточно, чтобы написать курсовую или диплом с чистого листа и 0% ИИ-пометок!
⚡️Если ты пришёл за полезным материалом – ищи его ниже:
1. Урок по написанию курсовой или диплома за 40 минут с помощью АИ-Профессора
2. Как убрать ИИ-Пометки для прохождения Антиплагиата из …
Немного закупился шмотками😋
До меня только дошло, что лето – ВСЁ, надо готовиться к осени и зиме)
Обычно я год-два ношу одну и ту же футболку (с хираксами) и не особо парюсь по шмоткам... Но тут позади очередное лето активной работы. Решил отложить на себя и порадовать, чего обычно не делал, и потратил ~1000$ на одежду🥹
Купил куртку, рубашку, крутой джемпер и туфли, теперь серьезный молодой человек😁
Еще, кстати, …
50% успешной задачи зависит не от курсовой, а от коннекта с научником😉
Давно хотел сказать в открытую то, о чём обычно говорю только в нашем АИ-Комьюнити:
Если вы найдете общий язык с научником, вам будет на 1000% легче пройти предзащиту и защититься!
Лайфхак простой, но почти никто им не пользуется:
На первую встречу приходите не с вопросом «А что вообще писать», а хотя бы с черновым планом или конкретным вопрос…
Неделя запары с введением и два часа на все главы – как так?😁
Расскажу реальную историю одной девушки из комьюнити – без деталей вуза, по её же просьбе.
Было: конец августа, курсовая по менеджменту, тема есть, на этом всё)
Неделю подряд открывала и закрывала документ – абзац написала, абзац стёрла, к выходным – три страницы введения и дальше тильт, ничего делать не хочется🥲
Написала мне в личку в панике, сразу вз…
Третья неделя учёбы, а в Отдел заботы уже сыпятся сообщения, как в сезон🥹
В начале сентября обычно все только вливаются в учебу, но почти каждый вопрос про ИИ-пометки и новый Антиплагиат…
Вот пара живых примеров из чата за последние дни
Одно из сообщений:
«У меня антиплагиат подсветил абзац, который я вообще руками переписывал три раза, как так?»
А вот так – систему иногда цепляет не факт использования ИИ, а слиш…
🔥11❤6🏆6
Showing the 12 most recent of 58 posts we hold for @trinnkoStudyBlog. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@trinnkoStudyBlog edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
27 August 2026
Most recent edit
27 August 2026
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 58 most recent posts we hold, published 25 July 2026 to 29 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Николай — эксперт по студенческим работам” (@trinnkoStudyBlog), 24,036 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/trinnkoStudyBlog.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.